- From this version we will be releasing python 3.8 wheels.
- When installing from source, you don't need any steps other than
pip install(needs Bazel). - Labels can be specified as Paths in addition to string names.
- Depends on
absl-py>=0.9,<0.11. - Depends on
googleapis-common-protos>=1.52.0,<2.
- N/A
- Deprecated Python 3.5 support.
- Added disallow_inf to FloatDomain message in schema.proto.
- Added new Anomaly type to describe data that has unexpected Infs / -Infs.
- Added new Anomaly and Schema field for specifying ratio of supported images.
- Added value_counts field to Feature message in schema.proto, which describes the number of values for features that have more than one nestedness level.
- Added new anomaly type VALUE_NESTEDNESS_MISMATCH to describe data that has a nestedness level that does not match the schema.
- Added new Any type value to CustomStatistic.
- Add ProblemStatement and Metric Python proto stubs.
- Use absltest instead of unittest.
- N/A
- Drops Python 2 support.
- Note: We plan to remove Python 3.5 support after this release.
- Added UniqueConstraints to Feature message in schema.proto.
- Added new Anomaly types to describe data that does not conform to UniqueConstraints.
- Added PresenceAndValencyStatistics to CommonStatistics.
- Added RaggedTensor in TensorRepresentation
- Added a new type of Anomaly: DATASET_HIGH_NUM_EXAMPLES
- Added a new field to dataset_constraints: max_examples_count
- Added a multi-label TaskType.
- Removed ProblemStatementNamespace proto
- Removed ProblemStatementReference proto
- Removed field ProblemStatement.implements
- Fixed a compatibility issue with newer bazel versions.
- Started pulling TF 1.15.2 source for building.
- Added support for specifying behavior of rare / OOV multiclass labels.
- Added anomaly types related to weighted features.
- Added support for storing lift stats on weighted examples.
- The removal of
lift_seriesfromCategoricalCrossStatsand the change of type ofLiftSeries.LiftValue.liftfrom float to double will cause parsing failures for serialized protos written written by version 0.21.0 which contained the deleted or changed fields.
- Added protos for categorical cross statistics using lift.
- Added a new type of Anomaly: FLOAT_TYPE_HAS_NAN
- Added a new field to float_domain: disallow_nans
- Added SparseTensor to TensorRepresentation.
- Added a new type of Anomaly
- Add WeightedFeature to schema.
- Add min_examples_count to DatasetConstraints and DATASET_LOW_NUM_EXAMPLES anomaly type.
- Add TimeOfDay domain and UNIX_DAY granularity for TimeDomain in schema.
- Added TensorRepresentation to schema.
No significant changes. Upgrading to keep version alignment.
- Adding CustomMetric to PerformanceMetric.
- Added an Any field to Schema Feature, for storing arbitrary structured data.
- Refactoring ProblemStatement and related protos. At present, these are not stable.
- Added ProblemStatement.
- Add support for declaring sparse features.
- Add support for schema diff regions.
- Adding functionality for handling structured data.
- StructStatistics.common_statistics changed to StructStatistics.common_stats to agree with Facets.
- The change from StructStatistics.common_statistics to StructStatistics.common_stats may break code that had this field set and was serializing to some text format. The wire format should be fine.
- Use the same version of protobuf as tensorflow.
- Added support for structural statistics.
- Added new error types.
- Removed DiffRegion.
- added RankHistogram to CustomStatistics.
- Removed DiffRegion.
- Established tf.Metadata as a standalone package.
- Moved tf.Metadata code out of TF-Transform code tree, requiring package dependency updates and import updates.